Church Membership and Economic Recovery: Evidence from the 2005 Hurricane Season
Iftekhar Hasan, Stefano Manfredonia, Felix Noth
Economic Journal,
forthcoming
Abstract
This paper investigates the critical role of church membership in the process of economic recovery after high-impact natural disasters. We document a significant adverse treatment effect of the 2005 hurricane season in the Southeastern United States on establishment-level productivity. However, we find that establishments in counties with higher rates of church membership saw a significantly stronger recovery in terms of productivity for 2005–10. We also show that church membership is correlated with post-disaster entrepreneurship activities and population growth.
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„Evaluation der Gemeinschaftsaufgabe ‚Verbesserung der regionalen Wirtschaftsstruktur‘ (GRW)“ durch einzelbetriebliche Erfolgskontrolle – Evaluationsbericht –
Matthias Brachert, Eva Dettmann, Lutz Schneider, Mirko Titze
IWH Studies,
No. 3,
2024
Abstract
Gegenstand dieses Evaluationsberichts ist die Replikation und Erweiterung der Ergebnisse des vorhergehenden Gutachtens zur Evaluation der Gemeinschaftsaufgabe ‚Verbesserung der regionalen Wirtschaftsstruktur‘ (GRW)
Der vorliegende Evaluationsbericht verfolgt zwei Ziele. Erstens aktualisiert er die Ergebnisse aus dem vorherigen Gutachten. Zweitens betrachtet er einige Aspekte zu den Wirkungen der GRW-Förderung vertiefend. Dazu gehört insbesondere die Frage, ob die GRW für die geförderten Betriebe tatsächlich einen Anreizeffekt im Sinne einer Ausweitung der Investitionstätigkeit hatte und wie sich die Effekte der Förderung unter Verwendung fortgeschrittener Produktivitätsmaße darstellt. Des Weiteren widmet sich der Evaluationsbericht einer vertiefenden Untersuchung heterogener Effekte auf sektoral disaggregierter Ebene sowie nach Betriebsgrößenklassen. Wo es möglich ist, analysiert der Bericht zudem längere Zeiträume nach dem Beginn des Förderprojekts. Schließlich widmet sich der Evaluationsbericht Fragen zur Wirtschaftlichkeit des GRW-Programms auf einzelbetrieblicher Ebene, indem er die Effekte in Beziehung setzt zur Höhe der aufgewendeten Fördermittel.
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Industry Mix, Local Labor Markets, and the Incidence of Trade Shocks
Steffen Müller, Jens Stegmaier, Moises Yi
Journal of Labor Economics,
No. 3,
2024
Abstract
We analyze how skill transferability and the local industry mix affect the adjustment costs of workers hit by a trade shock. Using German administrative data and novel measures of economic distance we construct an index of labor market absorptiveness that captures the degree to which workers from a particular industry are able to reallocate into other jobs. Among manufacturing workers, we find that the earnings loss associated with increased import exposure is much higher for those who live in the least absorptive regions. We conclude that the local industry composition plays an important role in the adjustment processes of workers.
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Forced Migration, Staying Minorities, and New Societies: Evidence from Postwar Czechoslovakia
Jakub Grossmann, Štěpán Jurajda, Felix Rösel
American Journal of Political Science,
No. 2,
2023
Abstract
Can staying minorities who evade ethnic cleansing affect political outcomes in resettled communities? After World War Two, three million ethnic Germans were expelled from Czechoslovakia's Sudetenland, but some were allowed to stay, many of them left-leaning antifascists. We study quasi-experimental local variation in expulsion policies, a result of the surprising presence of the U.S. Army, which indirectly helped antifascist Germans stay. We find a long-lasting footprint: Communist party support, party cells, and far-left values are stronger today where antifascist Germans stayed in larger numbers. Postwar German Communist elites appear to be behind this effect along with the intergenerational transmission of values among active party members.
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Who Benefits from Place-based Policies? Evidence from Matched Employer-Employee Data
Philipp Grunau, Florian Hoffmann, Thomas Lemieux, Mirko Titze
IWH Discussion Papers,
No. 11,
2024
Abstract
We study the wage and employment effects of a German place-based policy using a research design that exploits conditionally exogenous EU-wide rules governing the program parameters at the regional level. The place-based program subsidizes investments to create jobs with a subsidy rate that varies across labor market regions. The analysis uses matched data on the universe of establishments and their employees, establishment-level panel data on program participation, and regional scores that generate spatial discontinuities in program eligibility and generosity. These rich data enable us to study the incidence of the place-based program on different groups of individuals. We find that the program helps establishments create jobs that disproportionately benefit younger and less-educated workers. Funded establishments increase their wages but, unlike employment, wage gains do not persist in the long run. Employment effects estimated at the local area level are slightly larger than establishment-level estimates, suggesting limited spillover effects. Using subsidy rates as an instrumental variable for actual subsidies indicates that it costs approximately EUR 25,000 to create a new job in the economically disadvantaged areas targeted by the program.
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27.03.2024 • 10/2024
Joint Economic Forecast 1/2024: Headwinds from Germany and abroad: institutes revise forecast significantly downwards
According to Germany’s five leading economic research institutes, the country’s economy shows cyclical and structural weaknesses. In their spring report, they revised their GDP forecast for the current year significantly downward to 0.1%. In the recent fall report, the figure was still 1.3%. Expectations for the coming year are almost unchanged at 1.4% (previously 1.5%). However, the level of economic activity will then be over 30 billion euros lower due to the current weak phase.
Oliver Holtemöller
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Forecasting Economic Activity Using a Neural Network in Uncertain Times: Monte Carlo Evidence and Application to the
German GDP
Oliver Holtemöller, Boris Kozyrev
IWH Discussion Papers,
No. 6,
2024
Abstract
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an autoregressive benchmark model in many practically relevant cases. Then, we applied GRNN to forecast quarterly German GDP growth by extending univariate GRNN to multivariate and mixed-frequency settings. We could distinguish between “normal” times and situations where the time-series behavior is very different from “normal” times such as during the COVID-19 recession and recovery. GRNN was superior in terms of root mean forecast errors compared to an autoregressive model and to more sophisticated approaches such as dynamic factor models if applied appropriately.
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Tracking Weekly State-Level Economic Conditions
Christiane Baumeister, Danilo Leiva-León, Eric Sims
Review of Economics and Statistics,
No. 2,
2024
Abstract
This paper develops a novel dataset of weekly economic conditions indices for the 50 U.S. states going back to 1987 based on mixed-frequency dynamic factor models with weekly, monthly, and quarterly variables that cover multiple dimensions of state economies. We find considerable cross-state heterogeneity in the length, depth, and timing of business cycles. We illustrate the usefulness of these state-level indices for quantifying the main contributors to the economic collapse caused by the COVID-19 pandemic and for evaluating the effectiveness of the Paycheck Protection Program. We also propose an aggregate indicator that gauges the overall weakness of the U.S. economy.
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Flight to Safety: How Economic Downturns Affect Talent Flows to Startups
Shai B. Bernstein, Richard R. Townsend, Ting Xu
Review of Financial Studies,
No. 3,
2024
Abstract
Using proprietary data from AngelList Talent, we study how startup job seekers’ search and application behavior changed during the COVID-19 downturn. We find that workers shifted their searches and applications away from less-established startups and toward more-established ones, even within the same individual over time. At the firm level, this shift was not offset by an influx of new job seekers. Less-established startups experienced a relative decline in the quantity and quality of applications, ultimately affecting their hiring. Our findings uncover a flight-to-safety channel in the labor market that may amplify the procyclical nature of entrepreneurial activities.
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Macroeconomic Effects from Sovereign Risk vs. Knightian Uncertainty
Ruben Staffa
IWH Discussion Papers,
No. 27,
2023
Abstract
This paper compares macroeconomic effects of Knightian uncertainty and risk using policy shocks for the case of Italy. Drawing on the ambiguity literature, I use changes in the bid-ask spread and mid-price of government bonds as distinct measures for uncertainty and risk. The identification exploits the quasi-pessimistic behavior under ambiguity-aversion and the dealer market structure of government bond markets, where dealers must quote both sides of the market. If uncertainty increases, ambiguity-averse dealers will quasi-pessimistically quote higher ask and lower bid prices – increasing the bid-ask spread. In contrast, a pure change in risk shifts the risk-compensating discount factor which is well approximated by the change in bond mid-prices. I evaluate economic effects of the two measures within an instrumental variable local projection framework. The main findings are threefold. First, the resulting shock time series for uncertainty and risk are uncorrelated with each other at the intraday level, however, upon aggregation to monthly level the measures become correlated. Second, uncertainty is an important driver of economic aggregates. Third, macroeconomic effects of risk and uncertainty are similar, except for the response of prices. While sovereign risk raises inflation, uncertainty suppresses price growth – a result which is in line with increased price rigidity under ambiguity.
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